How to Use the Arlo Smart MCP in Google ADK

Q: Can Google ADK filter which Arlo Smart tools are active?

You can restrict access easily. Use the toolnames parameter when initializing the toolset. This prevents the agent from calling deletion tools if it only needs read access.

Q: How do I find the correct device ID for a camera?

Run the listarlocameras tool first. It returns an array of your hardware, including the exact ID strings required for arming or disarming commands.

Manage Arlo Smart cameras directly from your Google ADK agents. Feed MCP Server security footage straight into Gemini's massive context window.

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Connect Arlo Smart MCP to Google ADK

Create your Vinkius account to connect Arlo Smart to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Arlo Smart with Google ADK

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Audit security configurations with Gemini

Enterprise deployments require constant state verification. Your LlmAgent calls `list_arlo_devices` to dump the entire camera network topology into context. Gemini easily digests the connection status of every basestation and camera in one pass. Checking automation states happens through `get_arlo_device_modes`. The agent reads whether a location is armed, disarmed, or running a custom schedule. You can pipe this data directly into BigQuery for compliance tracking.

Control Arlo Smart MCP Server states

Sometimes you need to lock down a facility instantly. The `arm_arlo_device` tool enables motion detection across specified hardware via this MCP connection. When the event passes, `disarm_arlo_device` turns it off. Complex schedules require `set_arlo_device_mode`. Direct the tool to target a specific device ID and pass mode1 for armed or mode0 for disarmed. Google ADK handles the HTTP transport silently in the background.

Ingest video metadata at scale

Analyzing weeks of security footage used to break memory limits. Now you use `get_arlo_recordings` to pull presigned URLs and metadata for specific date blocks. Gemini's million-token window absorbs the entire timeline without flinching. For rapid checks, `get_recent_arlo_recordings` grabs yesterday's motion events. Users can also pull granular details using `get_arlo_recording_metadata`. The agent reads the JSON and identifies anomalies faster than a human operator.

Setup guide

Set up Arlo Smart MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Arlo Smart tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Arlo Smart_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Arlo Smart tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Arlo Smart MCP in Google ADK

Install the google-adk package in your Python environment. Create an McpToolset passing StreamableHttpServerParameters with your Vinkius URL. Assign that toolset to your LlmAgent.

You can restrict access easily. Use the tool_names parameter when initializing the toolset. This prevents the agent from calling deletion tools if it only needs read access.

Your agent acts as the bridge. The MCP Server fetches the camera data, and Google ADK feeds it to your Vertex AI models. It works natively.

Run the `list_arlo_cameras` tool first. It returns an array of your hardware, including the exact ID strings required for arming or disarming commands.

The integration accesses presigned video URLs and basestation connection logs. Vinkius runs the connection inside a strict V8 Isolate. The environment destroys itself immediately after your request finishes, leaving no trace.

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